assign_from_table: Distributes samples based on a sample sheet.

In designit: Blocking and Randomization for Experimental Design

Distributes samples based on a sample sheet.

Description

Distributes samples based on a sample sheet.

Usage

assign_from_table(batch_container, samples)

Arguments

batch_container	Instance of BatchContainer class
samples	data.frame with samples (a sample sheet). This data.frame (or tibble::tibble()) should contain samples together with their locations. No .sample_id column can be present in the sample sheet. In batch_container already has samples assigned, the function will check if samples in batch_container are identical to the ones in the samples argument.

Value

Returns a new BatchContainer.

Examples

bc <- BatchContainer$new(
  dimensions = list(
    plate = 2,
    column = list(values = letters[1:3]),
    row = 3
  )
)

sample_sheet <- tibble::tribble(
  ~plate, ~column, ~row, ~sampleID, ~group,
  1, "a", 1, 1, "TRT",
  1, "b", 2, 2, "CNTRL",
  2, "a", 1, 3, "TRT",
  2, "b", 2, 4, "CNTRL",
  2, "a", 3, 5, "TRT",
)
# assign samples from the sample sheet
bc <- assign_from_table(bc, sample_sheet)

bc$get_samples(remove_empty_locations = TRUE)

designit documentation built on May 29, 2024, 12:04 p.m.